Journal of Intelligent & Fuzzy Systems - Volume 38, issue 3

Authors: Mabrok, Mohamed A. | Mohamed, Hassan K. | Abdel-Aty, Abdel-Haleem | Alzahrani, Ahmed S.

Article Type: Research Article

Abstract:  Understanding the collaboration between physical systems and human is an essential task in man-machine systems. This area of research has been significantly explored in the recent years with the focus on the machine side. Much less attention has been directed to the other side in the man-machine systems, which is the human. The aim of this review is to discuses the major directions and challenges in man-machine systems from control theory perspective with a focus on human modeling and human attributes in the man-machine system. Four directions has been identified; these are: 1) Understanding the attributes and the limitation of …the human operator; 2) Categorizing the human-in-the-loop applications and derive generic bounders for each category; 3) Building a realistic application-based model for the human behavior; and 4) Integrating the human models into a formal control synthesis methodology. We surveyed the contribution in each of the four challenges and pointed out the limitation in the proposed ideas. Particular attention is given to the model identification of the human behavior. Show more

Keywords: Human-in-the-loop, human behavior, cyber-physical systems

DOI: 10.3233/JIFS-179548

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 2611-2622, 2020

Authors: Cheng, Yangwei | Li, Gongfa | Li, Jiahan | Sun, Ying | Jiang, Guozhang | Zeng, Fei | Zhao, Haoyi | Chen, Disi

Article Type: Research Article

Abstract: Based on HSV gamut space, a visualization system of muscle activity is proposed to study the mapping relationship between hand motion and active areas of upper arm muscle. There is a significant threshold change in the starting and ending points of the active segment in the original EMG signal, and the part that exceeds the threshold TH is the active segment date. Set the window width K and fixed increment Kt of time window to remove redundant data. The sEMG intensity information of each sampling electrode is obtained by calculating MAV in each window, and the simulation experiment is conducted …in HSV gamut space. Through the human-computer interaction experiment of the visual system, it is proved that this system can visually display the relationship between different channels in the spatial domain, thus intuitively identify the activity intensity of different muscles in hand motion. Show more

Keywords: Visualization system, hand motion, upper arm muscle, active areas, sEMG

DOI: 10.3233/JIFS-179549

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 2623-2634, 2020

Authors: Hamid, Muhammad | Zeshan, Furkh | Ahmad, Adnan | Munawar, Saima | Aimeur, Esma | Ahmed, Sohaib | Abu Elsoud, Mohamed | Yousif, Mohammed

Article Type: Research Article

Abstract: Software projects are failing for several decades due to multiple reasons. In this regard a lot of research has been done to investigate the reasons behind the failure. However, most of this research was executed in developed countries while under-developed and developing countries got little attention. The main objective of this study is to assess the impact of critical factors on the success of software projects for under-developed countries (like Pakistan), because enterprise environmental factors along with staff working habits, their experience and expertise level also have an impact on the success of a project. To accomplish this, a survey …was conducted through the Pakistan Software Export Board (PSEB), and logistic regression enquiry was executed to measure the relationship between various factors affecting software. The results reflect that improper planning along with wrong cost and time estimation are positively and significantly associated with software failure. Based on the finding of the survey, a model is proposed for intelligent decision support system (IDSs). The proposed model keeps track of the previous knowledge and behavior in a well-structured manner that might be helpful for project managers in the estimation and decision-making process of upcoming software projects. This research adds new knowledge from an under-developed country which will open new dimensions for the IT industry and project manager working under similar circumstances. Show more

Keywords: Decision support system, software project development, project estimation, project failure

DOI: 10.3233/JIFS-179550

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 2635-2647, 2020

Authors: Tebba, Zakia | Boulaaras, Salah | Degaichia, Hakima | Allahem, Ali

Article Type: Research Article

Abstract:  In this paper, we study a new class of nonlinear wave equation with variable exponents, where the existence of a unique weak solution is established under suitable assumptions on the variable exponents m and p by using the Faedo–Galerkin method. We also prove the finite time blow-up of solutions. Our results are natural extension of the work in [14 ].

Keywords: Wave equation, existence and uniqueness, Faedo–Galerkin, blow-up

DOI: 10.3233/JIFS-179551

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 2649-2660, 2020

Authors: Ali, Munwar | Jung, Low Tang | Hosam, Osama | Wagan, Asif Ali | Shah, Rehan Ali | Khayyat, Mashael

Article Type: Research Article

Abstract: The k-NN algorithm is an instance-based learning algorithm which is widely used in the data mining applications. The core engine of the k-NN algorithm is the distance/similarity function. The performance of the k-NN algorithm varies with the selection of distance function. The traditional distance/similarity functions in k-NN do not perfectly handle the mix-mode words such as when one string has multiple substrings/words. For example, a two-word string of “Employee Name”, a one-word string of “Name” or more than one word such as, “Name of Employee”. This ambiguity is faced by different distance/similarity functions causing difficulties in finding the perfect match …of words. To improve the perfect-match calculation functionality in the traditional k-NN algorithm, a new similarity distance metric is developed and named as word-distance (w-distance). The perfect match will help us to identify the exact required value. The proposed w-distance is a hybrid of distance and similarity in nature because it is to handle dissimilarity and similarity features of strings at the same time. The simulation results showed that w-distance has a better impact on the performance of the k-NN algorithm as compared to the Euclidean distance and the cosine similarity. Show more

Keywords: k-NN algorithm, distance/similarity metric, text match, data mining, cosine similarity

DOI: 10.3233/JIFS-179552

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 2661-2672, 2020

Authors: Abo El-Soud, Mohamed W. | Eltoukhy, Mohamed Meselhy

Article Type: Research Article

Abstract:  Breast cancer is one of the major causes of women death worldwide. WHO organization has reported that 1 in every 12 women could be subjected to a breast abnormality during her lifetime. To increase survival rates, it is found that early detection of breast tumor is very critical. Mammography-based breast cancer screening is the leading technology to achieve this aim. However, it still can not deal with the cases where the tumor size less than 2mm. Thermography-based breast cancer detection methods can address this problem. In this paper, a breast cancer detection method is proposed. The proposed method is consists …of four phases: (1) Image Pre-processing using homomorphic filtering, (2) Region of interest (ROI) Segmentation using K-mean clustering, (3) feature extraction using signature boundary, and (4) classification using Extreme Learning Machine (ELM). The proposed method is evaluated using the public dataset DMR-IR. Different activation functions in ELM are evaluated. The obtained results founded that “Tribas” is the best activation function under different experiments. It produced an accuracy result of 95.94% while talking 0.0469 second to detect the existence of malignant tumor, benign tumor or normal image. These promising results would be useful to develop thermography-based breast cancer detection system. Show more

Keywords: Thermogram, breast cancer, feature extraction, CAD system, homomorphic filtering, K-mean, signature boundary, Extreme Learning Machine (ELM)

DOI: 10.3233/JIFS-179553

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 2673-2681, 2020

Authors: Niu, Yanbiao | Zhou, Yongquan | Luo, Qifang

Article Type: Research Article

Abstract: To ensure the high measurement accuracy, the star sensor must be accurately calibrated before use. Which calibration method is selected to complete the calibration of parameters and how to improve the precision of parameters calibration is the key to achieve high precision attitude measurement of star sensor. Aiming at the problem that the accuracy of the traditional calibration algorithm is greatly affected by the initial value, a parameter calibration algorithm based on hybrid WOA-LM algorithm is proposed. This algorithm can dynamically fuse levenberg-Marquardt (LM) algorithm with Whale Optimization Algorithm (WOA). By making full use of the global search ability of …WOA algorithm and the local optimization ability of LM algorithm, the problems of traditional algorithm relying on the initial value, easy to fall into local convergence, low WOA algorithm’s calibration efficiency and calibration results are solved. Compared with WOA method, Li method, and the two-step method, this method has better performance. Simulation and experimental results show that this method can optimize all parameters of the star sensor with high accuracy and efficiency. Show more

Keywords: Star sensor, Whale optimization algorithm, levenberg-Marquardt algorithm, calibration, high accuracy

DOI: 10.3233/JIFS-179554

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 2683-2691, 2020

Authors: Alrajhi, Sharifah | Almarashi, Abdullah M. | Algarni, Ali | Amein, M.M.

Article Type: Research Article

Abstract: In this paper, Bayesian and non Bayesian methods are adapted to determined interval and point estimations under Type-I hybrid Progressively censored for generalized Gompertz distribution. The special case from MCMC adjust Metropolis-Hastings within Gibbs sampling in the case Bayesian procedure is used to solve the double integrations. Numerical examples including generation data sets are shown to make a conclusion on methods estimations used here.

Keywords: Type-I hybrid Progressive, Bayesian and Non-Bayesian estimations, Markov chain Mont-Carlo, generalized Gompertz distribution

DOI: 10.3233/JIFS-179555

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 2693-2702, 2020

Authors: Chai, Gan | Cao, Jinde | Xu, Shaosheng

Article Type: Research Article

Abstract: Aiming at the problem of mainline congestion and ramp queue spill in urban expressway, an optimized on-ramp control method based on reinforcement learning is put forward. Online reinforcement learning algorithm is used to optimize on-ramp control regulation by taking the metering rate as the action, the length of ramp queue, the throughput and the occupancy rate of the interweaving area as the state, and the volume of the road network as the reward function. By iterating the value function with actual behavior, the proposed method can avoid the establishment of an accurate traffic model and the reliance on prior knowledge. …Meanwhile, the real-time update of the value function Q compensates for the defect of control hysteresis. Compared with the classical method in simulation scenarios of Nanjing Kazimen Expressway, the average delay of the proposed method is reduced by 16.83%, the total delay reduced by 15.83%, the average speed enhanced by 6.80%, and the total travel time decreased by 5.22%; the average queue length of the on-ramp decreased by 89%; the average occupancy rate of the weaving area is decreased by 2.42% at rush hours, and the average traffic volume increased by 109veh/h. Show more

Keywords: Reinforcement learning, on-ramp metering method, optimization, urban expressway

DOI: 10.3233/JIFS-179556

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 2703-2715, 2020

Authors: Owyed, Saud

Article Type: Research Article

Abstract:  In the published paper (Results in Physics, 9 , (2018) 1497-1501), the authors introduced new traveling wave solutions for space-time nonlinear fractional differential equations (S-TNFDE) using, exp  (- ϕ  (ξ ))-expansion function and generalized Kudryashov methods. Here we present new solutions of the same equation considering another two modified methods, namely auxiliary equation method (AEM) and extended direct algebraic method (EDAM). To be able to solve the model of equations, fractional complex transform and the conformable fractional derivatives are used to convert fractional differential equation, into ordinary differential equations. The validity and reliability of the proposed methods are tested, and from …the obtained results we generated new group of solutions of (S-TNFDE). Show more

Keywords: Auxiliary equation method, extended direct algebraic method, fractional complex transform, exact traveling wave solutions

DOI: 10.3233/JIFS-179557

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 2717-2723, 2020